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Remote Sens. 2017, 9(7), 646; doi:10.3390/rs9070646

Good Practices for Object-Based Accuracy Assessment

Earth and Life Institute, Université catholique de Louvain, 1340 Louvain-la-Neuve, Belgium
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editors: Norman Kerle, Markus Gerke, Sébastien Lefèvre, Richard Gloaguen and Prasad S. Thenkabail
Received: 3 January 2017 / Revised: 26 May 2017 / Accepted: 19 June 2017 / Published: 22 June 2017
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Thematic accuracy assessment of a map is a necessary condition for the comparison of research results and the appropriate use of geographic data analysis. Good practices of accuracy assessment already exist, but Geographic Object-Based Image Analysis (GEOBIA) is based on a partition of the spatial area of interest into polygons, which leads to specific issues. In this study, additional guidelines for the validation of object-based maps are provided. These guidelines include recommendations about sampling design, response design and analysis, as well as the evaluation of structural and positional quality. Different types of GEOBIA applications are considered with their specific issues. In particular, accuracy assessment could either focus on the count of spatial entities or on the area of the map that is correctly classified. Two practical examples are given at the end of the manuscript. View Full-Text
Keywords: GEOBIA; response design; sampling design; sampling unit; overall accuracy; quality assessment; legend; polygons; spatial regions; spatial entities GEOBIA; response design; sampling design; sampling unit; overall accuracy; quality assessment; legend; polygons; spatial regions; spatial entities

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Radoux, J.; Bogaert, P. Good Practices for Object-Based Accuracy Assessment. Remote Sens. 2017, 9, 646.

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